Evidence map›Paper›PMID 38947926›Full record

ArticleArXiv2024

Association of neighborhood disadvantage with cognitive function and cortical disorganization in an unimpaired cohort.

Apoorva Safai, Erin Jonaitis, Rebecca E Langhough, William R Buckingha, Sterling C Johnson, W Ryan Powell, Amy J H Kind, Barbara B Bendlin, Pallavi Tiwari

Abstract readPreprint
In one paragraph

Article in ArXiv, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Apoorva SafaiDepartments of Radiology and Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Erin JonaitisWisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA.
Rebecca E LanghoughWisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA.
William R BuckinghaHealth Services and Care Research Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Sterling C JohnsonWisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA.
W Ryan PowellHealth Services and Care Research Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Amy J H KindWisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA.
Barbara B BendlinWisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA.
Pallavi TiwariDepartments of Radiology and Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.

Funding

The Neighborhoods Study: Contextual Disadvantage and Alzheimer’s Disease and Related Dementias (ADRD)R01AG070883 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI AMY J. KIND · 2021 to 2026
$42.1M
Neighborhood Socioeconomic Disadvantage and Medicare's 30-Day Rehospitalization Policy: Eliminating Rehospitalization Disparities by Informing Policy Design and ImplementationR01MD010243 · NIMHD · UNIVERSITY OF WISCONSIN-MADISON · PI KIND, AMY J. · 2015 to 2019
$2.8M
NIA NIH HHS R01 AG070883NIMHD NIH HHS R01 MD010243
6 · The paper itself

Abstract

Objective: Neighborhood disadvantage is associated with worse health and cognitive outcomes. Morphological similarity network (MSN) is a promising approach to elucidate cortical network patterns underlying complex cognitive functions. We hypothesized that MSNs could capture intricate changes in cortical patterns related to neighborhood disadvantage and cognitive function, potentially explaining some of the risk for later life cognitive impairment among individuals who live in disadvantaged contexts. Methods: This cross-sectional study included cognitively unimpaired participants (n=524, age=62.96±8.377, gender (M:F)=181:343, ADI(L:H) =450,74) from the Wisconsin Alzheimer's Disease Research Center or Wisconsin Registry for Alzheimer's Prevention. Neighborhood disadvantage status was obtained using the Area Deprivation Index (ADI). Cognitive performance was assessed through six tests evaluating memory, executive functioning, and the modified preclinical Alzheimer's cognitive composite (mPACC). Morphological Similarity Networks (MSN) were constructed for each participant based on the similarity in distribution of cortical thickness of brain regions, followed by computation of local and global network features. We used linear regression to examine ADI associations with cognitive scores and MSN features. The mediating effect of MSN features on the relationship between ADI and cognitive performance was statistically assessed. Results: Neighborhood disadvantage showed negative association with category fluency, implicit learning speed, story recall and mPACC scores, indicating worse cognitive function among those living in more disadvantaged neighborhoods. Local network features of frontal and temporal brain regions differed based on ADI status. Centrality of left lateral orbitofrontal region showed a partial mediating effect between association of neighborhood disadvantage and story recall performance. Conclusion: Our findings suggest differences in local cortical organization by neighborhood disadvantage, which also partially mediated the relationship between ADI and cognitive performance, providing a possible network-based mechanism to, in-part, explain the risk for poor cognitive functioning associated with disadvantaged neighborhoods. Future work will examine the exposure to neighborhood disadvantage on structural organization of the brain.

Indexed as

Alzheimer’s diseaseArea deprivation indexCognitive functionMorphological similarity networksNeighborhood disadvantageSocial determinant of health

Identifiers

PMID38947926
PMCPMC11213155

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.